AI ethics and systemic risks in finance

The paper suggests that AI ethics should pay attention to morally relevant systemic effects of AI use. It draws the attention of ethicists and practitioners to systemic risks that have been neglected so far in professional AI-related codes of conduct, industrial standards and ethical discussions more generally. The paper uses the financial industry as an example to ask: how can AI-enhanced systemic risks be ethically accounted for? Which specific issues does AI use raise for ethics that takes systemic effects into account? The paper (1) relates the literature about AI ethics to the ethics of systemic risks to clarify the moral relevance of AI use with respect to the imposition of systemic risks, (2) proposes a theoretical framework based on the ethics of complexity and (3) applies this framework to discuss implications for AI ethics concerned with AI-enhanced systemic risks.

STUDY OF LITERATURE FINANCIAL TECHNOLOGY, BLOCKCHAIN AND ISLAMIC FINANCE

FinTech is a new term in the financial industry and its aim is to improve financial services through the use of technology.” Financial technology is one of the most widely used terms for research in the financial industry today. The future of Islamic finance especially Islamic FinTech is very good in Muslim countries. The development of mobile and smartphones has paved the way for FinTech growth in these countries. These opportunities are certainly not without challenges. The biggest challenge for Islamic FinTech companies is about regulation and the lack of good and authentic research in the Sharia Fintech sector. Islamic FinTech needs to keep pace with the rapid developments that occur in the conventional financial world, Islamic FinTech must maintain stability and must protect investors and institutions from fraudulent trading practices.

The Effectiveness of Mating Induction on Men’s Financial Risk-Taking: Relationship Experience Matters

Substantial evidence from experimental studies has shown that mating motivation increases men’s financial risk-taking behaviors. The present study proposed a new moderator, men’s past relationship experience, for this well-accepted link between mating motivation and financial risk-taking tendency. Heterosexual young men were randomly assigned to the mating condition and control condition, and they completed a set of financial risk-taking tasks and reported their past relationship experience. A significant main effect of mating motivation and a significant interaction effect between experimental conditions (mating group and control group) and relationship experience emerged, suggesting that mating motivation increased financial risk-taking tendency only among men who have never been committed in a romantic relationship, rather than those who have had such experience. This moderating effect was replicated in two experiments. The present study contributed to the understanding of individual differences in the relationship between mating motivation and male financial risk-taking. The present findings also have important implications for financial industry and gambling companies to better target clients and advertise their high-risk products.

Research on financial innovations: an interdisciplinary review

PurposeThe financial industry offers a unique setting to study innovations. Financial innovations have fueled the growth of economies, markets and societies. The financial industry has successfully become the breeding ground for innovative services, processes, business models and technologies. This study seeks to provide a holistic view of the literature on financial innovations, synthesize the research findings and offer future directions for research in light of three market developments that are disrupting the industry and opening up a new era for the financial services industry. Disruptions from within and outside the industry offer new generations of radically innovative services. Moreover, new generations of consumers differ from previous generations in their needs and wants and look for innovative ways to handle their financial needs. Finally, significant developments related to financial innovations have emerged in Asia and developing countries.Design/methodology/approachThis study systematically reviews the academic research literature on financial innovations in two phases. The first phase provides a quantitative review of 546 journal articles published between 1990 and 2018. In the second phase, the study synthesizes the extant research on financial innovations and maps them in five research areas: firms' introduction and adoption of FIs, financial innovation development, the outcomes of financial innovations, regulations and intellectual property, and consumers.FindingsThe analysis found that disciplines differ with regard to the employed research methodologies, the units of analysis, sources of data and the innovations they examined. A positive trend in the number of published articles during this period is observed. However, studies have primarily focused on the USA and Europe and less so on other parts of the world. The literature synthesis further identifies research gaps in the available research that highlight future research opportunities in light of the three market disruptions. The financial services industry is on the brink of a new era due to disruptions from within and outside the industry and the entrance of new generations of consumers. Moreover, the financial industry has successfully become the breeding ground for innovative services, processes and business models. Therefore, financial innovations offer promising opportunities for bridging the gap between research on product and service innovations.Research limitations/implicationsThe work provides a holistic and systematic overview of extant research on financial innovations and highlights future research opportunities in light of the three disruptive market developments. It helps researchers take advantage of the opportunities in studying financial innovations while maintaining industry relevance.Originality/valueThe study is the first to review and synthesize the academic research literature on financial innovations across marketing, finance and innovation disciplines. In addition, the study highlights three primary disruptive forces in the financial industry and identifies future research directions in light of these disruptive forces.

A Bibliometric Analysis of Fintech Trends and Digital Finance

Digital finance has piqued the curiosity of academics, students, and institutions all around the globe for more than a decade. Innovative financial services companies are offering a wide range of new financial products and new ways of interacting with customers via digital finance (Fintech). Research on finance and information systems has thus examined these shifts as well as the implications of technological advancements on the financial industry. Through presenting a bibliometric analysis, the article summarizes how scientific research has developed on the connections between financial technology developments and digital finance during the previous years. According to the ScienceDirect database, we base this literature review on journals and articles that have been published. We conducted a content analysis of 343 articles based on the discovered clusters, finding research gaps and suggesting actionable areas for further study. The results offer a solid path for future research in this area. We discuss the significance of the aforementioned publications and articles as well as potential areas of future study. The next step is to analyze the citation linkages between the most important articles to identify how they are related to one another. For financial technology research, the study looks at the way they are organized. The research is concerned with the roles of Fintech and the limits of research in digital financing. We point out potential routes for researchers to take to expand on current knowledge while also seeking possibilities for new, interesting, and creative research that adds to the expansion of the topic of research.

Can the Financial Industry ‘Anchor’ Carbon Emission Reductions?

Existing research is ambiguous about the relationship between the financial industry development scale and carbon emission reduction targets. Therefore, using data from 30 provinces and municipalities directly under the central government (excluding Tibet, Hong Kong, Macao, and Taiwan) from 2009–2018, this study divides the reduction targets into emission quantity and intensity to investigate this relationship. Using the improved STIRPAT equation, the pooled OLS and other estimation technique in robustness test, we found that the financial industry development scale is positively related to emission quantity and negatively related to emission intensity. The financial industry development scale inhibits carbon emission intensity through the mediating role of the technology market development degree, which also has a moderating effect on the scale. The study also discusses the regional differences in the scale's impact on carbon emission intensity, its compensation effect on the economic loss caused by carbon emissions, and the positive influence of policy implementation on carbon emission intensity. We provide suggestions to reduce carbon emissions and achieve carbon neutrality.

Model to Program and Blockchain Approaches for Business Processes and Workflows in Finance

Business process modeling and verification have become an essential way to control and assure organizational evolution. We overview the opportunities for the application of blockchain in Business Process Management and Modeling in Finance and we focus on in-depth analysis of claim process in insurance as a use case. We investigate the utilization of blockchain technology for model checking of Workflow, Business Processes to ensure consistency, integrity, and security in a dynamically changing business environment. We create a UML profile for the blockchain, then we combine it with a UML activity diagram followed by a verification using Petri nets to guarantee a distributed computing system and scalable with mutable data. Our paper creates a unified picture of the approaches towards business processes modeling used in the financial industry organized around the set of premises intending to develop a future research agenda for blockchain business process modeling, specifically for the financial industry domain.

Leveraging Machine Learning in Financial Fraud Forensics in the Age of Cybersecurity

Financial sectors are lucrative cyber-attack targets because of their immediate financial gain. As a result, financial institutions face challenges in developing systems that can automatically identify security breaches and separate fraudulent transactions from legitimate transactions. Today, organizations widely use machine learning techniques to identify any fraudulent behavior in customers' transactions. However, machine learning techniques are often challenging because of financial institutions' confidentiality policy, leading to not sharing the customer transaction data. This chapter discusses some crucial challenges of handling cybersecurity and fraud in the financial industry and building machine learning-based models to address those challenges. The authors utilize an open-source e-commerce transaction dataset to illustrate the forensic processes by creating a machine learning model to classify fraudulent transactions. Overall, the chapter focuses on how the machine learning models can help detect and prevent fraudulent activities in the financial sector in the age of cybersecurity.

Blockchain Technology in China's Digital Economy

Compared with the traditional industrial economy, the Chinese digital economy uses brand-new production factors and production organization methods to bring changes to human society and promote the transformation of the economy. This chapter aims to explore the practical problems of adopting blockchain technology in China's digital economy and study how different cities (managed by various local governments) enhance their unique financial technology ecosystem's economic performance and promote RegTech policy in order to improve the digital economy under the central government's institutional setting. This chapter in turn analyzes the recent cases of blockchain in China's financial industry, compares the application and development of the latest financial technology related policies in major cities, and demonstrates how these regulations can promote the development of blockchain technology in the transformation of China's digital economy.

An Overview of FinTech in Bangladesh

How the future financial industry is going to be reshaped by technological innovations is now a concern. Financial technology (FinTech), a much-discussed topic around the globe, is changing the overall financial system. The trend is not an exception in developing countries like Bangladesh. In this chapter, the authors aim to explore the current state of FinTech in Bangladesh in light with the possible challenges for growth, opportunities, and future prospects. The growth of FinTech helps a large percentage of people to become banked or has given possible access to formal finance. For having access to finance, high rate of mobile phone penetration, smooth mobile internet access, and high cost of access to formal finance are some factors that have enhanced FinTech penetration in Bangladesh for the past few years. In line with the given prospects, there are problems too. Therefore, using an in-depth study, this research addresses those issues, provides recommendations, and looks for possible solutions for the smooth operation of FinTech in Bangladesh.